Mikhail Zotov

According to our database, Mikhail Zotov authored at least 10 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Refined STACK-CNN for Meteor and Space Debris Detection in Highly Variable Backgrounds.

Leonardo Olivi, Antonio Montanaro, Mario Edoardo Bertaina, Antonio Giulio Coretti, Dario Barghini, Matteo Battisti, Alexander Belov, Marta Bianciotto, Francesca Bisconti, Carl Blaksley, Sylvie Blin, Karl Bolmgren, Giorgio Cambiè, Francesca Capel, Marco Casolino, Igor Churilo, Marino Crisconio, Christophe De La Taille, Toshikazu Ebisuzaki, Johannes Eser, Francesco Fenu, George Filippatos, Massimo Alberto Franceschi, Christer Fuglesang, Alessio Golzio, Philippe Gorodetzky, Fumiyoshi Kajino, Hiroshi Kasuga, Pavel A. Klimov, Viktoria Kungel, Vladimir Kuznetsov, Massimiliano Manfrin, Laura Marcelli, Gabriele Mascetti, Wlodzimierz Marszal, Marco Mignone, Hiroko Miyamoto, Alexey Murashov, Tommaso Napolitano, Hitoshi Ohmori, Angela Olinto, Étienne Parizot, Piergiorgio Picozza, Lech Wiktor Piotrowski, Zbigniew Plebaniak, Guillaume Prévôt, Enzo Reali, Marco Ricci, Giulia Romoli, Naoto Sakaki, Sergei Sharakin, Kenji Shinozaki, Jacek Szabelski, Yoshiyuki Takizawa, Valerio Vagelli, Giovanni Valentini, Michal Vrábel, Lawrence Wiencke, Mikhail Zotov

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

2023

Neural Network Based Approach to Recognition of Meteor Tracks in the Mini-EUSO Telescope Data.

Mikhail Zotov, Dmitry Anzhiganov, Aleksandr Kryazhenkov, Dario Barghini, Matteo Battisti, Alexander Belov, Mario Edoardo Bertaina, Marta Bianciotto, Francesca Bisconti, Carl Blaksley, Sylvie Blin, Giorgio Cambiè, Francesca Capel, Marco Casolino, Toshikazu Ebisuzaki, Johannes Eser, Francesco Fenu, Massimo Alberto Franceschi, Alessio Golzio, Philippe Gorodetzky, Fumiyoshi Kajino, Hiroshi Kasuga, Pavel A. Klimov, Massimiliano Manfrin, Laura Marcelli, Hiroko Miyamoto, Alexey Murashov, Tommaso Napolitano, Hiroshi Ohmori, Angela Olinto, Etienne Parizot, Piergiorgio Picozza, Lech Wiktor Piotrowski, Zbigniew Plebaniak, Guillaume Prévôt, Enzo Reali, Marco Ricci, Giulia Romoli, Naoto Sakaki, Kenji Shinozaki, Christophe De La Taille, Yoshiyuki Takizawa, Michal Vrábel, Lawrence Wiencke

Algorithms, 2023

2022

A Neural Network Approach for Selecting Track-like Events in Fluorescence Telescope Data.

Mikhail Zotov, Denis Sokolinskii

CoRR, 2022

2021

Application of neural networks to classification of data of the TUS orbital telescope.

Mikhail Zotov

CoRR, 2021

2019

Remote Sensing of the Atmosphere by the Ultraviolet Detector TUS Onboard the Lomonosov Satellite.

Pavel A. Klimov, Boris A. Khrenov, Margarita A. Kaznacheeva, Gali Garipov, Mikhail Panasyuk, Vasily Petrov, Sergei Sharakin, Andrei Shirokov, Ivan Yashin, Mikhail Zotov, Viktor Grebenyuk, Andrei Grinyuk, Maria Lavrova, Artur Tkachenko, Leonid Tkachev, Alla Botvinko, Oleg Saprykin, Andrei Puchkov, Alexander Senkovsky

Remote. Sens., 2019

Identifying nearby sources of ultra-high-energy cosmic rays with deep learning.

Oleg Kalashev, Maxim Pshirkov, Mikhail Zotov

CoRR, 2019

2016

Adaptive Techniques for Extracting Mental Activity Phases from Heart Beat Rate Streams.

Alina Dubatovka, Elena Mikhailova, Mikhail Zotov, Boris Novikov

Proceedings of the Databases and Information Systems IX, 2016

Algorithms for Extracting Mental Activity Phases from Heart Beat Rate Streams.

Alina Dubatovka, Elena Mikhailova, Mikhail Zotov, Boris Novikov

Proceedings of the Databases and Information Systems, 2016

2011

A Dynamic Approach to the Physiological-Based Assessment of Resilience to Stressful Conditions.

Mikhail Zotov, Chris Forsythe, Alexey Voyt, Inga Akhmedova, Vladimir Petrukovich

Proceedings of the Foundations of Augmented Cognition. Directing the Future of Adaptive Systems, 2011

2009

Physiological-Based Assessment of the Resilience of Training to Stressful Conditions.

Mikhail Zotov, J. Chris Forsythe, Vladimir Petrukovich, Inga Akhmedova

Proceedings of the Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience, 2009